Lead Software Engineer
Prana Treeis a fast-growing IT consulting and product innovation firm specializing in AI, Data Engineering, Blockchain, and Cloud solutions. We partner with global enterprises and start-ups to deliver transformative technologies that solve real-world problems. At Prana Tree, we believe in nurturing talent, driving innovation, and building a future rooted in ethical AI and intelligent automation. Our collaborative, high-impact culture fosters learning, ownership, and end-to-end product thinking.
About the Role
We re looking for an experienced Lead Software Engineer to guide a high-performing team in delivering scalable, innovative, and AI-powered software solutions . This role blends hands-on engineering with technical leadership, giving you the chance to architect robust systems, mentor engineers, and shape next-generation applications.
What You ll Do
-
Lead and mentor a team of software engineers, driving delivery of high-quality products.
-
Oversee solution design, technical architecture, and system optimization.
-
Make key decisions on buy vs. build vs. open-source software (OSS) adoption.
-
Build applications that integrate Software Engineering and LLM (OpenAI, Claude, Gemini).
-
Translate business needs into practical, scalable technical solutions.
-
Ensure coding standards, architecture guidelines, and security best practices.
-
Foster a culture of innovation, collaboration, and continuous improvement.
-
Conduct design/code reviews and drive Agile ceremonies for timely delivery.
What We re Looking For
-
Bachelor s or Master s in Computer Science, Engineering, or related field.
-
8+ years in software engineering, with 3+ years in a technical leadership role.
-
Proven expertise in full-stack development, cloud technologies, and distributed systems.
-
Hands-on experience with LLM engineering and API integrations (OpenAI, Claude, Gemini).
-
Strong track record in solution design and technical architecture.
-
Excellent problem-solving, communication, and leadership skills.
Good to Have
-
Experience with microservices architecture.
-
Familiarity with MLOps and AI model deployment.
-
Hands-on with Docker/Kubernetes, CI/CD pipelines.
-
Exposure to multi-cloud (Azure, AWS, Google Cloud Platform) environments.